Mobile App Growth Strategist

7 days ago

Vizag, Andhra Pradesh, India beBeeGrowth Full time ₹ 20,00,000 - ₹ 25,00,000

About Our Growth Analytics Role:

We are seeking a seasoned growth analyst to join our team of experts passionate about data-driven innovation.

Job Responsibilities:
  • Conduct in-depth cohort analysis using AppsFlyer data to track user acquisition, retention, and revenue performance across different user segments and acquisition channels.
  • Calculate and monitor key growth metrics including Customer Lifetime Value (LTV), Return on Investment (ROI), ROAS, payback periods, and customer acquisition costs (CAC).
  • Develop and maintain advanced attribution models to measure marketing campaign effectiveness and optimize budget allocation across channels.
  • Collaborate with data engineers to design, optimize, and maintain data pipelines that process AppsFlyer raw data for analytical purposes.
  • Build complex SQL queries in Snowflake to extract, transform, and analyze large datasets for growth insights.
  • Create and maintain interactive dashboards in Metabase to visualize key performance metrics and provide self-service analytics for stakeholders.
  • Design and execute A/B testing frameworks to evaluate the impact of product changes and marketing campaigns on growth metrics.
  • Partner with client teams (marketing, product, finance) to optimize campaigns, identify growth features, and align analytics with business planning.
  • Conduct market research and competitive analysis to identify growth opportunities and benchmark performance.
  • Develop predictive models to forecast user behavior, revenue projections, and campaign performance.

Required Skills and Qualifications:

  • Expert-level proficiency in SQL for complex data manipulation and analysis.
  • Advanced experience with Metabase for creating interactive dashboards and self-service analytics solutions.
  • Demonstrated experience with mobile attribution platforms, with specific expertise in AppsFlyer data analysis and reporting.
  • Strong proficiency in statistical analysis, cohort analysis, and predictive modeling techniques.
  • Deep understanding of mobile app growth metrics including LTV, CAC, ROAS, retention rates, and revenue attribution models.
  • Proficiency in Python or R for advanced analytics and statistical modeling.
  • Experience with A/B testing methodologies, experimental design, and statistical significance testing.

Benefits:

  • Flexible remote work arrangement.
  • Opportunity to make an immediate impact on growth initiatives while working with cutting-edge analytics technologies.
  • Exposure to diverse industries and building long-term relationships in the mobile app analytics space.

Culture:

  • A culture of continuous learning, professional development, and collaborative achievement.

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